Multi-Agent Actor Critic for Channel Allocation in Heterogeneous Networks.
Nan ZhaoZehua LiuYiqiang ChengChao TianPublished in: Int. J. Mob. Comput. Multim. Commun. (2020)
Keyphrases
- heterogeneous networks
- channel allocation
- actor critic
- multi agent
- reinforcement learning
- cognitive radio networks
- cellular networks
- policy gradient
- temporal difference
- optimal control
- neuro fuzzy
- approximate dynamic programming
- single agent
- gradient method
- reinforcement learning algorithms
- multi agent systems
- spectrum sensing
- intelligent agents
- function approximation
- user centric
- policy iteration
- multiple agents
- state space
- partially observable markov decision processes
- model free
- multiple types
- learning algorithm
- communication networks
- learning problems
- average reward
- machine learning
- social networks
- dynamic programming
- supervised learning
- cognitive radio
- wireless networks
- markov decision processes
- link prediction
- optimal policy
- neural network